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Luigi Di Lillo

2 accepted papers

2025

Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning

CoRL 2025oral

Foundation models can provide robust high-level reasoning on appropriate safety interventions in hazardous scenarios beyond a robot's training data, i.e. out-of-distribution (OOD) failures. However, due to the high inference latency of Large Vision and Language Models, current methods rely on manual…

Cited by 0SourcecodeScholar
2025

Realistic Extreme Behavior Generation for Improved AV Testing

ICRA 2025

This work introduces a framework to diagnose the strengths and shortcomings of Autonomous Vehicle (AV) collision avoidance technology with synthetic yet realistic potential collision scenarios adapted from real-world, collision-free data. Our framework generates counterfactual collisions with divers

Cited by 3SourceScholar